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hud

Edtech · US · Early-stage
hud.ai
Reinforcement LearningAI

HUD (YC W25) is developing agentic evals and RL environments for Computer Use Agents (CUAs) that browse the web for frontier AI labs. Our CUA Evals framework is the first comprehensive evaluation tool for CUAs. People don't actually know if AI agents are working reliably. To make AI agents work in the real world, we need detailed evals for a huge range of tasks. We're backed by Y Combinator, and work closely with frontier AI labs to provide agent evaluation and training infrastructure at scale.

Founded
2025
Headquarters
San Francisco, CA, USA
Team size
11–50
Stage
Early-stage
📊 Coliseo ratings
🏆 Overall 1480 Elo
1486
💰 Conviction
Provisional
1474
🔥 Momentum
Provisional
1481
🧲 Talent
Provisional
Total matchups0
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Ratings are live Elo scores from head-to-head crowd votes — opinion, not fact or financial advice. How it works →